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https://github.com/zebrajr/pytorch.git
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3d79ced8cf
This updates `wrap_pybind_function` to use `invoke` and adds the `invoke_traits` object which is analogous to `function_traits` but for member functions it includes the class as an explicit argument. To test this is working properly, I've also applied it to the `CUDAGraph` binding code. Pull Request resolved: https://github.com/pytorch/pytorch/pull/88932 Approved by: https://github.com/albanD
53 lines
1.9 KiB
C++
53 lines
1.9 KiB
C++
#include <torch/csrc/python_headers.h>
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#include <pybind11/chrono.h>
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#include <torch/csrc/jit/python/pybind_utils.h>
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#include <torch/csrc/utils/pybind.h>
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#include <ATen/cuda/CUDAGraph.h>
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// Cargo culted partially from csrc/distributed/c10d/init.cpp
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// and partially from csrc/cuda/Stream.cpp.
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// THCPStream_init is also declared at global scope.
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// Because THCPGraph_init is forward declared in the only consumer
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// (csrc/Module.cpp) I don't think we need a Graph.h.
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template <typename T>
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using shared_ptr_class_ = py::class_<T, std::shared_ptr<T>>;
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void THCPGraph_init(PyObject* module) {
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// Pybind11 patch notes say "py::module_" is more up-to-date syntax,
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// but CI linter and some builds prefer "module".
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auto torch_C_m = py::handle(module).cast<py::module>();
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torch_C_m.def("_graph_pool_handle", &::at::cuda::graph_pool_handle);
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shared_ptr_class_<::at::cuda::CUDAGraph>(torch_C_m, "_CUDAGraph")
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.def(py::init<>())
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// I'm not sure this is the correct order of all the arguments. Pybind11
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// docs aren't clear. But it works.
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.def(
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"capture_begin",
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torch::wrap_pybind_function(&at::cuda::CUDAGraph::capture_begin),
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py::call_guard<py::gil_scoped_release>(),
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py::arg("pool") = c10::cuda::MempoolId_t{0, 0})
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.def(
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"capture_end",
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torch::wrap_pybind_function(&at::cuda::CUDAGraph::capture_end),
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py::call_guard<py::gil_scoped_release>())
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.def(
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"replay",
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torch::wrap_pybind_function(&at::cuda::CUDAGraph::replay),
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py::call_guard<py::gil_scoped_release>())
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.def(
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"reset",
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torch::wrap_pybind_function(&at::cuda::CUDAGraph::reset),
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py::call_guard<py::gil_scoped_release>())
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.def(
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"pool",
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torch::wrap_pybind_function(&at::cuda::CUDAGraph::pool),
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py::call_guard<py::gil_scoped_release>());
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}
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